Staff profile

Yona Falinie A. Gaus is a Post doctoral research associate at the Department of Computer Science at Durham University. She received PhD in Electronic and Computer Engineering from Brunel University London, UK in 2018. Prior to that, she received MEng degree in Electrical and Electronic Engineering, from University Malaysia Sabah, Malaysia in 2013 and Bachelor of Engineering degree in Electrical and Engineering from same university in 2009.

Her primary research interests, in the domain of applied computer vision & image processing, are as follows: object detection, classification, automated X-ray imagery screening/analysis, supervised/unsupervised learning via deep/machine learning, content-based image retrieval, image localization.

Research Group

Department of Computer Science

 Innovative Computing Group

Research Interests

 Object detection/classification
 Emotion Recognition
 Deep learning
 Machine learning
 Computer vision
 Image processing

Conference Paper

• Gaus, Y. F. A., Bhowmik, N., Isaac-Medina, B. K. S., & Breckon, T. P. (2024, June). Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery. Presented at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA
• Gaus, Y., Bhowmik, N., Issac-Medina, B., Atapour-Abarghouei, A., Shum, H., & Breckon, T. (2023, June). Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery. Presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, Vancouver, BC
• Corona-Figueroa, A., Bond-Taylor, S., Bhowmik, N., Gaus, Y. F. A., Breckon, T. P., Shum, H. P., & Willcocks, C. G. (2023, October). Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. Presented at ICCV23: 2023 IEEE/CVF International Conference on Computer Vision, Paris, France